Innovation in Aging最新文献

Background and objectives: This study aims to identify patterns of caregiving intensity and assess associations between caregiving intensity and multidimensional physical health indicators and health behaviors among spousal caregivers of persons with Alzheimer's disease and related dementia.

Research design and methods: Using data from 152 spousal caregivers aged 65 and older, the intensity of their caregiving experience was measured as the number and frequency of health- and medical-related helping activities for their care recipient. Multidimensional health indicators included self-reported fatigue, sleep disturbance, physical functioning, pain interference, general health, and the number of chronic conditions from the electronic health records. Self-reported health promotion behaviors were assessed as health responsibility, physical activity, nutrition, interpersonal relations, and stress management.

Results: Two distinct caregiving intensity patterns, high-intensity (37.5%) and low-intensity (62.5%) caregiving, were identified with cluster analysis. Caregivers in the high-intensity caregiving cluster reported feeling more tired (t = 2.25, p < .05), experiencing more sleep disturbance (t = 3.06, p < .01), and performing less physical activity (t = 2.05, p < .05) compared with caregivers in the low-intensity group.

Discussion and implications: Future studies are needed to develop effective interventions to address caregiving intensity and its consequences on the health of spousal caregivers of persons with dementia.

Background and objectives: Prior studies on cognitive reserve (CR) and cognitive trajectories are limited and have had conflicting results. Furthermore, most studies have used a single measure of CR that may not reflect a comprehensive exposure. The objective of this study is to determine the impact of individual and composite CR measures on cognitive decline over a 6-year period.

Research design and methods: We studied 55,340 participants from 16 European countries, aged 50 and older, who participated in the Survey of Health, Aging, and Retirement in Europe. We used cognitive measures (including immediate memory, delayed memory, verbal fluency, and numeracy) and 3 CR factors (education, occupation, and cognitive activities) collected in 4 waves from 2011 to 2017. Structural equation modeling was used to construct the composite CR score, analyzed as tertile. Linear mixed-effect models were used to examine the study aims.

Results: At baseline, the highest composite CR tertile was associated with a higher cognition score than the middle and lowest CR tertiles (β: -0.28, 95% confidence interval [CI]: -0.29 to -0.26; β: -0.71, 95% CI: -0.72 to -0.70, respectively), as well as for all individual cognitive domains. At longitudinal results, compared with the lowest CR, the highest but not the middle CR tertile demonstrated a slower 6-year decline in global cognition (β: -0.02, 95 % CI: -0.03 to -0.01), as well as in all cognitive domains (p < .05).

Discussion and implications: A composite CR could be a protective factor for cognitive performance and cognitive decline, and it is more sensitive and inclusive than an individual CR indicator alone.

[This corrects the article DOI: 10.1093/geroni/igad104.1676.].

Background and objectives: Alcohol causes more than 3 million deaths a year globally and contributes to over 5% of global disease and injury. Heavy drinking and alcohol use disorders among older adults have increased in the last 10-15 years. For individuals living in low-income countries, where wages are low and unemployment is high, old age pensions may provide a significant increase in household income. In turn, the receipt of supplementary income may increase spending on alcohol. Earlier life factors and socioeconomic status may affect alcohol consumption, making it difficult to directly assess the impact of income on alcohol consumption. This study reduces the potential for endogeneity with other life factors by exploiting an exogenous increase in income from old age pensions to isolate the impact of extra income on alcohol consumption for older adults.

Research design and methods: We used a regression discontinuity design to assess changes in drinking patterns among rural, low-income adults who were 3 years below and 3 years above South Africa's Old Age Pension Grant eligibility threshold (age 60). We assessed this relationship separately by gender and for employed and unemployed individuals.

Results: We observed a significantly increased alcohol use associated with the Old Age Pension Grant eligibility for employed men (β = 4.57, 95% confidence interval: 1.72-12.14). We did not observe this same trend for unemployed men or for women.

Discussion and implications: The analysis in this study indicates that increased income from reaching the pension eligibility age may contribute to an increase in alcohol consumption for employed men. Interventions, such as informational campaigns on the risks of alcohol consumption for older adults or age-appropriate health interventions to help individuals reduce alcohol consumption, targeted around the time of pension eligibility age for employed men may help to reduce alcohol-related harms in low-income, rural sub-Saharan African settings.

Background and objectives: The claim that political group attendance is associated with poor mental health among older adults may be conditioned on geographic conditions. This study examined the geographical context in which political group participation may be associated with depression.

Research design and methods: The 11-year follow-up data from the Taiwan Longitudinal Study on Aging, covering 5,334 persons aged ≥50 years, were analyzed using random-effects panel logit models. Depression was assessed using 10 items on the Centre for Epidemiologic Studies Depression scale. Participants were asked to indicate whether they belonged to different social groups. We modeled depression as a function of political group participation (the independent variable) and geographical region (moderators), adjusting for individual-level characteristics.

Results: Respondents in political groups were more likely to report depression than those in nonpolitical groups (adjusted odds ratio [AOR] = 1.90, 95% confidence interval [CI] = 1.34-2.68). Between urban and rural settlements, there were no statistically significant differences in mental health outcomes among older adults engaged in political groups (AOR = 1.72, 95% CI = 0.81-3.67). For those who remained politically engaged, living in areas with lower levels of electoral competition was associated with a lower likelihood of depression (AOR = 0.92, 95% CI = 0.86-0.98); this conditional effect was not prevalent among those who were solely engaged in nonpolitical groups (AOR = 1.02, 95% CI = 0.99-1.03).

Discussion and implications: Political group participation is associated with poor mental health among older adults living in politically competitive regions.

Background and objectives: Evidence remains unclear on the impact of life-course socioeconomic position (SEP) mobility on frailty trajectories in later life. We aim to examine the longitudinal effects of social mobility on frailty trajectories among Chinese middle-aged and older populations.

Research design and methods: A total of 13 239 participants aged 45 and older from the 2011-2018 China Health and Retirement Longitudinal Study were analyzed. Based on changes in SEP from childhood to adulthood, 5 patterns of social mobility were established. A 32-item deficit cumulative frailty index (FI) was developed to evaluate frailty trajectories at each follow-up. Linear mixed-effects models were used to examine the longitudinal association of the 5 social mobility patterns with the frailty trajectory.

Results: The trajectory of late-life FI increased across all 5 social mobility groups during the follow-up. The FI trajectory had the largest disparity between stable high SEP and stable low SEP, with a faster increase in FI of 0.489 (95% confidence interval [CI]: 0.327-0.650, p < .001) in the stable low versus stable high SEP group. The FI trajectories of individuals in the upward and downward mobility groups fall between those in the stable high SEP and low SEP groups. Specifically, compared to the stable high SEP group, the increase in FI was 0.229 (95% CI: 0.098-0.360, p = .001) faster in the downward mobility group, and 0.145 (95% CI: 0.017-0.273, p = .03) faster in the upward mobility group. The impact of social mobility on frailty trajectories was more pronounced among middle-aged adults and women.

Discussion and implications: These findings emphasize that policies to identify vulnerable populations and reduce frailty inequalities should focus on the socioeconomic environment across the life course, with particular attention paid to those with consistently low SEP and downward mobility.

Some authors claim that minimal models have limited epistemic value (Fumagalli, 2016; Grüne-Yanoff, 2009a). Others defend the epistemic benefits of modelling by invoking the role of robustness analysis for hypothesis confirmation (see, e.g., Levins, 1966; Kuorikoski et al., 2010) but such arguments find much resistance (see, e.g., Odenbaugh & Alexandrova, 2011). In this paper, we offer a Bayesian rationalization and defence of the view that robustness analysis can play a confirmatory role, and thereby shed light on the potential of minimal models for hypothesis confirmation. We illustrate our argument by reference to a case study from macroeconomics. At the same time, we also show that there are cases in which robustness analysis is detrimental to confirmation. We characterize these cases and link them to recent investigations on evidential variety (Landes, 2020b, 2021; Osimani and Landes, forthcoming). We conclude that robustness analysis over minimal models can confirm, but its confirmatory value depends on concrete circumstances.